Claire Vernade

Bio

Claire is a Research Scientist at DeepMind in London UK. She received her PhD from Telecom ParisTech in October 2017, under the guidance of Prof. Olivier Cappé. From January 2018-October 2018, she worked part-time as an Applied Scientist at Amazon in Berlin, while doing a post-doc with Alexandra Carpentier at the University of Magdeburg in Germany.

Her research is on sequential decision making with applications to online recommendation. It mostly spans bandit problems, but Claire's interest also extends to Reinforcement Learning and Learning Theory. While keeping in mind concrete problems -- often inspired by interactions with product teams -- she focuses on theoretical approaches, aiming for provably optimal algorithms.